AI Visibility Index / Industries / Feedback, forms & bug reporting

Most AI-visible feedback & form tools (2026)

We scored 14 feedback & form tools on how easily ChatGPT, Perplexity, Claude and AI agents can find, understand and use them. BugHerd leads with 100/100. Data from our crawl on October 18, 2026; scores are a homepage snapshot, not live.

90

Feedback & form tools average score

86

Whole-index average (+4 for this industry)

64%

of these sites miss “Question & answer content”

#ProductScoreCrawlersContentSchemaAgents
1BugHerd
bugherd.com
100100100100100
2Canny
canny.io
9810094100100
2Frill
frill.co
9810094100100
4Marker.io
marker.io
9610010010083
4Tally
tally.so
9610087100100
4Typeform
typeform.com
9610085100100
7Productboard
productboard.com
959589100100
8Upvoty
upvoty.com
929510010074
9Usersnap
usersnap.com
909510010064
10Featurebase
featurebase.app
861009410047
10Jotform
jotform.com
861008110064
12Jam
jam.dev
8095892083
13Nolt
nolt.io
7210089847
14Bird Eats Bug
birdeatsbug.com
71100792047

Sub-scores: Crawlers = AI crawler access, Content = answer-engine content, Schema = structured data, Agents = agent readiness (llms.txt, API/MCP). Ties share a rank.

Feedback & form tools vs the whole index

AreaThis industryAll 538 sites
Overall score9086
AI crawler access9997
Answer-engine content9289
Structured data8271
Agent readiness7976

Most common gaps among feedback & form tools

Question & answer content64% (index: 71%)
Fix: Add an FAQ answering the exact questions buyers ask ChatGPT ("best X for Y", "X vs Y", "how much does X cost").
One clear H143% (index: 24%)
Fix: Use exactly one H1 that names the product and its core benefit.
Machine-usable interface (API / MCP)43% (index: 52%)
Fix: Expose an MCP server or OpenAPI spec and link it from llms.txt so agents can use your product, not just read about it.
llms.txt36% (index: 36%)
Fix: Publish the generated llms.txt below at https://yoursite/llms.txt.
JSON-LD structured data21% (index: 33%)
Fix: Add JSON-LD (generated below) so engines know your entity, product and pricing unambiguously.
Entity / product schema21% (index: 37%)
Fix: Add Organization + Product/SoftwareApplication schema with name, url, logo, sameAs (socials), offers.
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FAQ

Which feedback & form tools are the most visible to AI search engines?

In our October 18, 2026 crawl, the top-scoring feedback & form tools were BugHerd (100/100), Canny (98/100), Frill (98/100). The score measures how easily ChatGPT, Perplexity, Claude and AI agents can crawl, understand and use each product's homepage.

How do feedback & form tools compare with the rest of the AI Visibility Index?

The 14 feedback & form tools we track average 90/100, 4 points above the 86/100 average across all 538 SaaS and AI sites in the index.

What is the most common AI visibility gap among feedback & form tools?

64% of the feedback & form tools we checked miss "Question & answer content" (vs 71% across the whole index). Fix: Add an FAQ answering the exact questions buyers ask ChatGPT ("best X for Y", "X vs Y", "how much does X cost").

How is the AI visibility score calculated?

RankRoot checks four areas on each homepage: AI crawler access (robots.txt rules for GPTBot, ClaudeBot, PerplexityBot and others), answer-engine content (title, headings, FAQ-style content, server-rendered text), structured data (JSON-LD, Organization/Product schema) and agent readiness (llms.txt, discoverable API or MCP server). Each area is scored 0 to 100 and combined into one score.

When was this data collected, and can a company update its score?

Scores are a snapshot from our crawler on October 18, 2026. They are not updated automatically. Anyone can rescan a site live for free, and we refresh the index periodically.

My feedback & form tool isn't listed. How do I see where it would rank?

Run a free scan at https://getrankroot.com/report. You get the same score and checks, so you can compare it directly with this leaderboard.

Other industry leaderboards

Email marketing & newslettersEmail & messaging APIsSales, CRM & lead generationCustomer support & chatbotsProduct analytics & experimentationProduct adoption & interactive demosMonitoring & observabilityCode review & code qualityCI/CD & testingGit hosting & engineering intelligenceAI coding assistants & app buildersNo-code & internal tool buildersAPI development & documentationAI models & model APIsGPU cloud & AI inferenceAI agent builders & automationAgent tools, MCP & integrationsLLM observability & evalsSearch engines & vector databasesWeb scraping & search APIsDatabases & backend platformsCloud hosting & deploymentData pipelines, BI & document AISecurity, auth & identityPayments, finance & HRAI video & audio creationVoice AI & speechAI meeting assistantsTasks, calendars & schedulingProject & work managementNotes & knowledge basesWebsite builders, CMS & ecommerceSEO & AI search visibilityAI writing assistantsDesign, presentations & AI imagesMedia, file & image APIsBrowsers, search & AI directories

Methodology and full findings: State of AI Visibility 2026. Industry labels are assigned by RankRoot from each product's own homepage description.